The chatbot trap Open any product changelog from the last year and you'll find the same move: a chat bubble in the corner, a sparkle icon, a launch post with the word AI in the headline. The widget answers questions about the product. Sometimes it drafts an email.
In this blog post, we will see how an LLM request and response cycle works, from the second you hit send to the moment the last word lands on your screen. I will not throw a wall of transformer math at you. Instead, we will follow one single prompt through every stage of the journey, so nothing...
An agent drafts a reply to an insurance claim. A human reads it, changes one sentence that would have committed the insurer to something it did not mean, and ships it. That edit is the single most valuable thing that happened in the whole interaction.
A few days ago I posted my first impressions of Kimi K3 on LinkedIn . Since then, I’ve been using it daily for real work — not benchmarks, not demos. Here’s what actually held up.
1 points, 0 comments on Hacker News
2 points, 1 comments on Hacker News